Feasibility Study of Multimodal Macromodeling for Open Source Data Research and Adjudication
With the release of the text big model,gradually formed to the text modal as the mainstream of the system application,and achieved certain achievements,considering the existence of a variety of modalities in the real world,the text big model is also gradually evolved to the multi-modal big model.Open source data is mainly characterized by complexity,diversity,and massive volume,and traditional means for open source data research and adjudication have the problems of difficulty,model convergence,and linkage difficulties,etc.It is of strong application significance to reshape open source data research and adjudication technical routes by using the unstructured governance capability and intelligent linkage analysis capability of multimodal big model technology.